Mari Sepp

1.6k total citations
24 papers, 760 citations indexed

About

Mari Sepp is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mari Sepp has authored 24 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mari Sepp's work include Genetics and Neurodevelopmental Disorders (6 papers), RNA Research and Splicing (6 papers) and Virus-based gene therapy research (4 papers). Mari Sepp is often cited by papers focused on Genetics and Neurodevelopmental Disorders (6 papers), RNA Research and Splicing (6 papers) and Virus-based gene therapy research (4 papers). Mari Sepp collaborates with scholars based in Estonia, Germany and United Kingdom. Mari Sepp's co-authors include Tõnis Timmusk, Priit Pruunsild, Indrek Koppel, Ester Orav, Ave Eesmaa, Kaia Palm, Elena Cattaneo, Chiara Zuccato, Jürgen Tuvikene and Reet Kurg and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Mari Sepp

23 papers receiving 753 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mari Sepp Estonia 14 475 244 232 113 66 24 760
Christina Chatzi United States 13 539 1.1× 190 0.8× 218 0.9× 138 1.2× 67 1.0× 20 768
Jens Leander Johansen Denmark 14 338 0.7× 156 0.6× 327 1.4× 122 1.1× 39 0.6× 17 606
Galina Schmunk United States 9 483 1.0× 169 0.7× 115 0.5× 103 0.9× 156 2.4× 11 734
Faraz Sultan United States 11 441 0.9× 141 0.6× 177 0.8× 49 0.4× 66 1.0× 15 704
Yeunkum Lee South Korea 15 325 0.7× 226 0.9× 161 0.7× 43 0.4× 90 1.4× 23 513
Yusuke Taguchi Japan 12 529 1.1× 120 0.5× 436 1.9× 120 1.1× 124 1.9× 25 926
Daniel W. Meechan United States 13 550 1.2× 277 1.1× 138 0.6× 63 0.6× 122 1.8× 17 761
Gaia Colasante Italy 17 846 1.8× 397 1.6× 412 1.8× 255 2.3× 90 1.4× 26 1.3k
Emanuela Pasciuto Belgium 12 438 0.9× 314 1.3× 128 0.6× 53 0.5× 168 2.5× 21 700
Eva M. Pérez-Villegas Spain 17 422 0.9× 107 0.4× 203 0.9× 267 2.4× 57 0.9× 25 758

Countries citing papers authored by Mari Sepp

Since Specialization
Citations

This map shows the geographic impact of Mari Sepp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mari Sepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Sepp more than expected).

Fields of papers citing papers by Mari Sepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mari Sepp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mari Sepp. The network helps show where Mari Sepp may publish in the future.

Co-authorship network of co-authors of Mari Sepp

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Sepp. A scholar is included among the top collaborators of Mari Sepp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mari Sepp. Mari Sepp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fallahshahroudi, Amir, Céline Schneider, Julia Schmidt, et al.. (2025). Developmental origins and evolution of pallial cell types and structures in birds. Science. 387(6735). eadp5182–eadp5182. 11 indexed citations
2.
Sieber, Laura, Jesús García-López, Shiekh Tanveer Ahmad, et al.. (2024). Loss of Elp1 in cerebellar granule cell progenitors models ataxia phenotype of Familial Dysautonomia. Neurobiology of Disease. 199. 106600–106600.
3.
Tuvikene, Jürgen, et al.. (2021). Functional consequences of TCF4 missense substitutions associated with Pitt-Hopkins syndrome, mild intellectual disability, and schizophrenia. Journal of Biological Chemistry. 297(6). 101381–101381. 9 indexed citations
4.
Sepp, Mari, Jordi Creus‐Muncunill, Jürgen Tuvikene, et al.. (2021). Isoform-Specific Reduction of the Basic Helix-Loop-Helix Transcription Factor TCF4 Levels in Huntington’s Disease. eNeuro. 8(5). ENEURO.0197–21.2021. 5 indexed citations
5.
Sarropoulos, Ioannis, Mari Sepp, Kevin Leiss, et al.. (2021). Developmental and evolutionary dynamics of cis-regulatory elements in mouse cerebellar cells. Science. 373(6558). 43 indexed citations
6.
Tuvikene, Jürgen, et al.. (2020). Daughterless, the Drosophila orthologue of TCF4, is required for associative learning and maintenance of the synaptic proteome. Disease Models & Mechanisms. 13(7). 7 indexed citations
7.
Tuvikene, Jürgen, et al.. (2020). The Fuchs corneal dystrophy-associated CTG repeat expansion in the TCF4 gene affects transcription from its alternative promoters. Scientific Reports. 10(1). 18424–18424. 13 indexed citations
8.
Tuvikene, Jürgen, et al.. (2019). Neuralized family member NEURL1 is a ubiquitin ligase for the cGMP-specific phosphodiesterase 9A. Scientific Reports. 9(1). 7104–7104. 12 indexed citations
9.
Sepp, Mari, et al.. (2017). The Intellectual Disability and Schizophrenia Associated Transcription Factor TCF4 Is Regulated by Neuronal Activity and Protein Kinase A. Journal of Neuroscience. 37(43). 10516–10527. 33 indexed citations
10.
Kharbanda, Mira, et al.. (2016). Partial deletion of TCF4 in three generation family with non-syndromic intellectual disability, without features of Pitt-Hopkins syndrome. European Journal of Medical Genetics. 59(6-7). 310–314. 21 indexed citations
11.
Słomnicki, Łukasz P., Agata Malinowska, Michał Kistowski, et al.. (2016). Nucleolar Enrichment of Brain Proteins with Critical Roles in Human Neurodevelopment. Molecular & Cellular Proteomics. 15(6). 2055–2075. 22 indexed citations
12.
13.
Sepp, Mari, et al.. (2014). Forkhead Transcription Factor FOXO3a Levels Are Increased in Huntington Disease Because of Overactivated Positive Autofeedback Loop. Journal of Biological Chemistry. 289(47). 32845–32857. 42 indexed citations
14.
Sepp, Mari, Priit Pruunsild, & Tõnis Timmusk. (2012). Pitt–Hopkins syndrome-associated mutations in TCF4 lead to variable impairment of the transcription factor function ranging from hypomorphic to dominant-negative effects. Human Molecular Genetics. 21(13). 2873–2888. 72 indexed citations
15.
Pruunsild, Priit, Mari Sepp, Ester Orav, Indrek Koppel, & Tõnis Timmusk. (2011). Identification ofcis-Elements and Transcription Factors Regulating Neuronal Activity-Dependent Transcription of HumanBDNFGene. Journal of Neuroscience. 31(9). 3295–3308. 191 indexed citations
16.
17.
Kairisalo, Minna, Laura Korhonen, Mari Sepp, et al.. (2009). NF‐κB‐dependent regulation of brain‐derived neurotrophic factor in hippocampal neurons by X‐linked inhibitor of apoptosis protein. European Journal of Neuroscience. 30(6). 958–966. 58 indexed citations
18.
Kurg, Reet, et al.. (2009). Bovine papillomavirus type 1 E2 protein heterodimer is functional in papillomavirus DNA replication in vivo. Virology. 386(2). 353–359. 12 indexed citations
19.
Kazantseva, Anna, Mari Sepp, Jekaterina Kazantseva, et al.. (2009). N‐terminally truncated BAF57 isoforms contribute to the diversity of SWI/SNF complexes in neurons. Journal of Neurochemistry. 109(3). 807–818. 26 indexed citations
20.
Koppel, Indrek, et al.. (2009). Tissue-specific and neural activity-regulated expression of human BDNF gene in BAC transgenic mice. BMC Neuroscience. 10(1). 68–68. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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